http://lod.bco-dmo.org/id/dataset/782839
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2019-11-25
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Thermal niche across three light levels for seven strains of a marine diatom Chaetoceros sp. isolated from Narragansett Bay March 2018
2019-11-20
publication
2019-11-20
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2020-03-09
publication
https://doi.org/10.1575/1912/bco-dmo.782839.1
David A. Hutchins
University of Southern California
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Hutchins, D. (2019) Thermal niche across three light levels for seven strains of a marine diatom Chaetoceros sp. isolated from Narragansett Bay March 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-11-20 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.782839.1 [access date]
Diatom thermal niche calcs Dataset Description: <p>Thermal niche, as calculated from the Thermal Performance Curve (TPC), across three light levels for seven strains of a marine diatom Chaetoceros sp. isolated from Narragansett Bay March 2018.</p> Methods and Sampling: <p>These calculations were generated using previously calculated growth rates across six to seven temperatures.&nbsp;The calculations were done in R and used the calculations for thermal niche used in Thomas et al. 2012.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1638804 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1638804
completed
David A. Hutchins
University of Southern California
213-740-5616
Department of Biological Sciences 3616 Trousdale Parkway, AHF 20
Los Angeles
CA
90089
USA
dahutch@usc.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Strain
Light
topt
tmin
tmax
rsqr
width
theme
None, User defined
sample identification
irradiance
water temperature at measurement depth
featureType
BCO-DMO Standard Parameters
Turner Designs Fluorometer 10-AU
instrument
BCO-DMO Standard Instruments
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Dimensions of Biodiversity
http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503446
Dimensions of Biodiversity
(adapted from the NSF Synopsis of Program)
Dimensions of Biodiversity is a program solicitation from the NSF Directorate for Biological Sciences. FY 2010 was year one of the program. [MORE from NSF]
The NSF Dimensions of Biodiversity program seeks to characterize biodiversity on Earth by using integrative, innovative approaches to fill rapidly the most substantial gaps in our understanding. The program will take a broad view of biodiversity, and in its initial phase will focus on the integration of genetic, taxonomic, and functional dimensions of biodiversity. Project investigators are encouraged to integrate these three dimensions to understand the interactions and feedbacks among them. While this focus complements several core NSF programs, it differs by requiring that multiple dimensions of biodiversity be addressed simultaneously, to understand the roles of biodiversity in critical ecological and evolutionary processes.
Dimensions of Biodiversity
largerWorkCitation
program
Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients
https://osprey.bco-dmo.org/project/712787
Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients
<p><em>NSF Award Abstract:</em><br />
Photosynthetic marine microbes, phytoplankton, contribute half of global primary production, form the base of most aquatic food webs and are major players in global biogeochemical cycles. Understanding their community composition is important because it affects higher trophic levels, the cycling of energy and elements and is sensitive to global environmental change. This project will investigate how phytoplankton communities respond to two major global change stressors in aquatic systems: warming and changes in nutrient availability. The researchers will work in two marine systems with a long history of environmental monitoring, the temperate Narragansett Bay estuary in Rhode Island and a subtropical North Atlantic site near Bermuda. They will use field sampling and laboratory experiments with multiple species and varieties of phytoplankton to assess the diversity in their responses to different temperatures under high and low nutrient concentrations. If the diversity of responses is high within species, then that species may have a better chance to adapt to rising temperatures and persist in the future. Some species may already be able to grow at high temperatures; consequently, they may become more abundant as the ocean warms. The researchers will incorporate this response information in mathematical models to predict how phytoplankton assemblages would reorganize under future climate scenarios. Graduate students and postdoctoral associates will be trained in diverse scientific approaches and techniques such as shipboard sampling, laboratory experiments, genomic analyses and mathematical modeling. The results of the project will be incorporated into K-12 teaching, including an advanced placement environmental science class for underrepresented minorities in Los Angeles, data exercises for rural schools in Michigan and disseminated to the public through an environmental journalism institute based in Rhode Island.</p>
<p>Predicting how ecological communities will respond to a changing environment requires knowledge of genetic, phylogenetic and functional diversity within and across species. This project will investigate how the interaction of phylogenetic, genetic and functional diversity in thermal traits within and across a broad range of species determines the responses of marine phytoplankton communities to rising temperature and changing nutrient regimes. High genetic and functional diversity within a species may allow evolutionary adaptation of that species to warming. If the phylogenetic and functional diversity is higher across species, species sorting and ecological community reorganization is likely. Different marine sites may have a different balance of genetic and functional diversity within and across species and, thus, different contribution of evolutionary and ecological responses to changing climate. The research will be conducted at two long-term time series sites in the Atlantic Ocean, the Narragansett Bay Long-Term Plankton Time Series and the Bermuda Atlantic Time Series (BATS) station. The goal is to assess intra- and inter-specific genetic and functional diversity in thermal responses at contrasting nutrient concentrations for a representative range of species in communities at the two sites in different seasons, and use this information to parameterize eco-evolutionary models embedded into biogeochemical ocean models to predict responses of phytoplankton communities to projected rising temperatures under realistic nutrient conditions. Model predictions will be informed by and tested with field data, including the long-term data series available for both sites and in community temperature manipulation experiments. This project will provide novel information on existing intraspecific genetic and functional thermal diversity for many ecologically and biogeochemically important phytoplankton species, estimate generation of new genetic and functional diversity in evolution experiments, and develop and parameterize novel eco-evolutionary models interfaced with ocean biogeochemical models to predict future phytoplankton community structure. The project will also characterize the interaction of two major global change stressors, warming and changing nutrient concentrations, as they affect phytoplankton diversity at functional, genetic, and phylogenetic levels. In addition, the project will develop novel modeling methodology that will be broadly applicable to understanding how other types of complex ecological communities may adapt to a rapidly warming world.</p>
Phytoplankton Community Responses
largerWorkCitation
project
eng; USA
biota
oceans
-71.4007
-71.2674
41.4471
41.7129
2017-01-01
2018-10-31
Narragansett Bay, RI and Bermuda, Bermuda Atlantic Time-series Study (BATS)
0
BCO-DMO catalogue of parameters from Thermal niche across three light levels for seven strains of a marine diatom Chaetoceros sp. isolated from Narragansett Bay March 2018
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/783263.rdf
Name: Strain
Units: unitless
Description: <p>strain code for Chaetoceros sp.</p>
http://lod.bco-dmo.org/id/dataset-parameter/783264.rdf
Name: Light
Units: umol Photons per m2 per second
Description: <p>light level during experiment</p>
http://lod.bco-dmo.org/id/dataset-parameter/783265.rdf
Name: topt
Units: degrees Celsius
Description: <p>the temperature level to support fastest growth</p>
http://lod.bco-dmo.org/id/dataset-parameter/783266.rdf
Name: tmin
Units: degrees Celsius
Description: <p>the lowest temperature able to support growth</p>
http://lod.bco-dmo.org/id/dataset-parameter/783267.rdf
Name: tmax
Units: degrees Celsius
Description: <p>the highest temperature able to support growth</p>
http://lod.bco-dmo.org/id/dataset-parameter/783268.rdf
Name: rsqr
Units: unitless
Description: <p>R-squared for thermal performance curve model</p>
http://lod.bco-dmo.org/id/dataset-parameter/783269.rdf
Name: width
Units: degrees Celsius
Description: <p>thermal niche width: temperature range able to support growth</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
606
https://darchive.mblwhoilibrary.org/bitstream/1912/25504/1/dataset-782839_diatom-tpc-parameters__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.782839.1
download
onLine
dataset
<p>These calculations were generated using previously calculated growth rates across six to seven temperatures.&nbsp;The calculations were done in R and used the calculations for thermal niche used in Thomas et al. 2012.</p>
Specified by the Principal Investigator(s)
<p><strong>BCO-DMO Processing Notes:</strong><br />
- added conventional header with dataset name, PI name, version date<br />
- modified parameter names to conform with BCO-DMO naming conventions (replaced spaces with underscores)<br />
- reduced temperature precision from 8 to 1 decimal place</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
PI Supplied Instrument Name: PI Supplied Instrument Description:Used to measure fluorescence. Instrument Name: Turner Designs Fluorometer 10-AU Instrument Short Name:Turner Fluorometer 10-AU Instrument Description: The Turner Designs 10-AU Field Fluorometer is used to measure Chlorophyll fluorescence. The 10AU Fluorometer can be set up for continuous-flow monitoring or discrete sample analyses. A variety of compounds can be measured using application-specific optical filters available from the manufacturer (read more from Turner Designs, turnerdesigns.com, Sunnyvale, CA, USA). Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0393/